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Table 1 Basic description of the floating elderly population

From: Relationship between social interaction and health of the floating elderly population in China: an analysis based on interaction type, mode and frequency

Variable

Total samples

Male floating elderly

Female floating elderly

Mean

SD

Mean

SD

Mean

SD

Individual characteristic variable

      

Sex (female = 0)

0.577

0.494

1

0

0

0

Age

65.91

5.512

66.04

5.657

65.74

5.304

Hukou (non-agricultural = 0)

0.564

0.496

0.573

0.495

0.551

0.497

Marital status (without spouse = 0)

0.842

0.365

0.900

0.300

0.763

0.425

Primary education and below (other = 0)

0.479

0.500

0.406

0.491

0.579

0.494

Junior high school education (other = 0)

0.301

0.459

0.349

0.477

0.235

0.424

High school education and above (other = 0)

0.220

0.415

0.245

0.430

0.187

0.390

Socioeconomic characteristic variable

      

Personal income

8.325

0.910

8.329

0.872

8.320

0.960

Insured status (not attend = 0)

0.654

0.476

0.641

0.480

0.672

0.469

Flow characteristic variable

      

Mobility range

      

Interprovincial mobility(other = 0)

0.442

0.497

0.442

0.497

0.442

0.497

Intercity mobility(other = 0)

0.346

0.476

0.345

0.476

0.347

0.476

Intercounty mobility(other = 0)

0.212

0.409

0.212

0.409

0.211

0.408

Mobility reason

      

Working or doing business(other = 0)

0.346

0.476

0.452

0.498

0.202

0.401

Caring for children(other = 0)

0.406

0.491

0.301

0.459

0.549

0.498

Flowing for aged-care(other = 0)

0.136

0.343

0.141

0.348

0.130

0.337

Other flow reason

0.112

0.315

0.106

0.308

0.119

0.324

Mobility time

10.02

8.120

10.20

8.465

9.764

7.619

In-flows region

      

Eastern region

0.405

0.491

0.397

0.489

0.416

0.493

Middle region

0.290

0.454

0.285

0.452

0.298

0.457

Western region

0.305

0.460

0.318

0.466

0.286

0.452

Sample size

5239

3034

2205